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Publications about 'Detection'
Thesis
  1. B. Laugraud. Motion-aware temporal median filtering for robust background estimation. PhD thesis, University of Liège, Belgium, March 2020. Keyword(s): Background estimation, Background initialization, Background generation, Motion detection, Background subtraction, Optical flow, Semantic segmentation, Scene parsing, Median filtering, SBI dataset, SBMnet dataset, LaBGen, LaBGen-P, LaBGen-OF, LaBGen-P-Semantic, Computer vision, Image processing. [bibtex-entry]


  2. O. Barnich. Motion detection and human recognition in video sequences. PhD thesis, University of Liège, Belgium, September 2010. Keyword(s): Segmentation, Tracking, Background subtraction, Gait recognition. [bibtex-entry]


Articles in journal or book chapters
  1. C. Gomez Gonzalez, O. Absil, and M. Van Droogenbroeck. Supervised detection of exoplanets in high-contrast imaging sequences. Astronomy & Astrophysics, 613:1-13, May 2018. Keyword(s): Deep learning, SODINN, VORTEX project, High angular resolution, Image processing, Detection of planets, Sparse decomposition, Detection, Planets and satellites. [bibtex-entry]


  2. A. Lejeune, J. Verly, and M. Van Droogenbroeck. Probabilistic Framework for the Characterization of Surfaces and Edges in Range Images, with Application to Edge Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(9):2209-2222, September 2018. Keyword(s): 3D, Range, Depth, Time-of-Flight, Probability density function, Edge detection, Surface, Kinect, Probabilistic framework. [bibtex-entry]


  3. B. Laugraud, S. Piérard, and M. Van Droogenbroeck. LaBGen: A Method Based on Motion Detection for Generating the Background of a Scene. Pattern Recognition Letters, 96:12-21, 2017. Keyword(s): LaBGen, Background initialization, Background generation, Background subtraction, SBMI dataset, SBMC contest. [bibtex-entry]


  4. C. Gomez Gonzalez, O. Absil, P.-A. Absil, M. Van Droogenbroeck, D. Mawet, and J. Surdej. Low-rank plus sparse decomposition for exoplanet detection in direct imaging ADI sequences: The LLSG algorithm. Astronomy & Astrophysics, 589(A54):1-9, May 2016. Keyword(s): VORTEX project, High angular resolution, Image processing, Detection of planets, Sparse decomposition, Detection, Planets and satellites. [bibtex-entry]


  5. P.-M. Jodoin, S. Piérard, Y. Wang, and M. Van Droogenbroeck. Overview and Benchmarking of Motion Detection Methods. In T. Bouwmans, F. Porikli, B. Hoferlin, and A. Vacavant, editors, Background Modeling and Foreground Detection for Video Surveillance, chapter 24. Chapman and Hall/CRC, July 2014. Keyword(s): Background subtraction, Book. [bibtex-entry]


  6. O. Barnich and M. Van Droogenbroeck. ViBe: A universal background subtraction algorithm for video sequences. IEEE Transactions on Image Processing, 20(6):1709-1724, June 2011. Keyword(s): ViBe, Background, Background subtraction, Segmentation, Motion, Motion detection, Software, Source code. [bibtex-entry]


  7. A. Borghgraef, O. Barnich, F. Lapierre, M. Van Droogenbroeck, W. Philips, and M. Acheroy. An evaluation of pixel-based methods for the detection of floating objects on the sea surface. EURASIP Journal on Advances in Signal Processing, 2010:11 pages, 2010. Keyword(s): Sea, Object detection, Motion detection, Background subtraction, Background, ViBe. [bibtex-entry]


  8. O. Barnich, S. Jodogne, and M. Van Droogenbroeck. Robust analysis of silhouettes by morphological size distributions, volume 4179 of Lecture Notes on Computer Science, pages 734-745. Springer Verlag, 2006. Keyword(s): Detection, Classification, Silhouette, Shape, Tracking, Human. [bibtex-entry]


Conference articles
  1. A. Cioppa, A. Deliège, N. Ul Huda, R. Gade, M. Van Droogenbroeck, and T. Moeslund. Multimodal and multiview distillation for real-time player detection on a football field. In IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports, Seattle, Washington, USA, June 2020. Note: Best CVSports paper award. Keyword(s): Soccer, Football, Artificial intelligence, Deep learning, Machine learning, Multiview distillation, Multimodal distillation, Knowledge distillation, Player detection, Thermal camera, Fisheye camera, Real-time, DeepSport, Distillation, ViBe. [bibtex-entry]


  2. A. Cioppa, M. Van Droogenbroeck, and M. Braham. Real-Time Semantic Background Subtraction. In IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, October 2020. Keyword(s): Background subtraction, Real time, Change detection, Semantic segmentation, Semantic background subtraction, DeepSport, CDNet 2014. [bibtex-entry]


  3. S. Piérard and M. Van Droogenbroeck. Summarizing the performances of a background subtraction algorithm measured on several videos. In IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, October 2020. Keyword(s): Background subtraction, Evaluation, Performance, Summarization, Change detection, Classification performance, CDNet 2014. [bibtex-entry]


  4. P. Latour and M. Van Droogenbroeck. Dual Approaches for Elliptic Hough Transform: Eccentricity/Orientation vs Center based. In IAPR International Conference on Discrete Geometry for Computer Imagery (DGCI), Lecture Notes in Computer Science, pages 367-379, 2019. Keyword(s): Ellipse detection, Ellipse matching, Hough transform, Pencil of conics, Tangential equation. [bibtex-entry]


  5. M. Braham, S. Piérard, and M. Van Droogenbroeck. Semantic Background Subtraction. In IEEE International Conference on Image Processing, Beijing, China, pages 4552-4556, September 2017. Keyword(s): Background subtraction, Change detection, Semantic segmentation, Scene labeling, Scene parsing, Classification, Machine learning, Deep learning, CDNet 2014. [bibtex-entry]


  6. B. Laugraud and M. Van Droogenbroeck. Is a Memoryless Motion Detection Truly Relevant for Background Generation with LaBGen?. In Advanced Concepts for Intelligent Vision Systems (ACIVS), volume 10617 of Lecture Notes in Computer Science, pages 443-454, 2017. Keyword(s): Background generation, Background initialization, Background subtraction, Optical flow, Motion detection, Median filter, SBI dataset, SBMnet dataset, LaBGen, LaBGen-OF. [bibtex-entry]


  7. M. Braham and M. Van Droogenbroeck. Deep Background Subtraction with Scene-Specific Convolutional Neural Networks. In International Conference on Systems, Signals and Image Processing (IWSSIP), Bratislava, Slovakia, pages 1-4, May 2016. Keyword(s): Background subtraction, Deep learning, Machine learning, CDNet, Change detection, CDNet 2014. [bibtex-entry]


  8. B. Laugraud and S. Piérard M. Van Droogenbroeck. LaBGen-P: A Pixel-Level Stationary Background Generation Method Based on LaBGen. In International Conference on Pattern Recognition (ICPR), Scene Background Modeling Contest (SBMC), Cancun, Mexico, December 2016. Note: Source code in C++ available, see http://www.telecom.ulg.ac.be/labgen. Keyword(s): Background generation, Background modelling, Background image, Source code, LaBGen, Background estimation, Initialization, SBMnet, SBMC, Motion detection, LaBGen. [bibtex-entry]


  9. M. Braham and M. Van Droogenbroeck. A generic feature selection method for background subtraction using global foreground models. In Advanced Concepts for Intelligent Vision Systems (ACIVS), volume 9386 of Lecture Notes in Computer Science, pages 717-728, 2015. Keyword(s): Background subtraction, Feature selection, Foreground model, Change detection, ViBe. [bibtex-entry]


  10. S. Piérard, S. Azrour, R. Phan-Ba, and M. Van Droogenbroeck. Detection and characterization of gait modifications, for the longitudinal follow-up of patients with neurological diseases, based on the gait analyzing system GAIMS. In European Life Sciences Summit BIOMEDICA, Maastricht, The Netherlands, June 2014. Keyword(s): GAIMS, Gait, Follow-up, Patient, Multiple sclerosis. [bibtex-entry]


  11. R. Phan-Ba, S. Piérard, G. Moonen, M. Van Droogenbroeck, and S. Belachew. Detection and Quantification of Efficiency and Quality of Gait Impairment in Multiple Sclerosis through Foot Path Analysis. In Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), Lyon, France, October 2012. Keyword(s): GAIMS, Multiple Sclerosis, Gait, Outcome measure. [bibtex-entry]


  12. M. Van Droogenbroeck and O. Paquot. Background Subtraction: Experiments and Improvements for ViBe. In Change Detection Workshop (CDW), in conjunction with CVPR, Providence, Rhode Island, pages 32-37, June 2012. Keyword(s): ViBe, Video, Background subtraction, Background modelling, Motion detection. [bibtex-entry]


  13. A. Lejeune, S. Piérard, M. Van Droogenbroeck, and J. Verly. A new jump edge detection method for 3D cameras. In International Conference on 3D Imaging (IC3D), Liège, Belgium, pages 1-7, December 2011. Keyword(s): 3D, Depth, Range, Distance, ToF camera, Edge, Edge detection, Canny, Kinect. [bibtex-entry]


  14. S. Piérard, A. Lejeune, and M. Van Droogenbroeck. A probabilistic pixel-based approach to detect humans in video streams. In International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Prague, Czech Republic, pages 921-924, May 2011. Keyword(s): Human, Detection, Silhouette, Background subtraction. [bibtex-entry]


  15. O. Barnich, S. Piérard, and M. Van Droogenbroeck. A virtual curtain for the detection of humans and access control. In Advanced Concepts for Intelligent Vision Systems (ACIVS 2010), Part II, Sydney, Australia, pages 98-109, December 2010. Keyword(s): Detection, Human, Access control, Curtain, Silhouette, Laser, Sensor, Machine learning, Training, Door. [bibtex-entry]


  16. S. Piérard, A. Lejeune, and M. Van Droogenbroeck. 3D information is valuable for the detection of humans in video streams. In Proceedings of 3D Stereo MEDIA, Liège, Belgium, December 2010. Keyword(s): 3D, Depth, Range, Distance, ToF camera, Human, Detection, MakeHuman. [bibtex-entry]


  17. O. Barnich and M. Van Droogenbroeck. ViBe: a powerful random technique to estimate the background in video sequences. In International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2009), pages 945-948, April 2009. Note: PDF available on the University site or at the IEEE. Keyword(s): ViBe, Video, Background subtraction, Background modelling, Motion detection. [bibtex-entry]


  18. S. Piérard, J. Leens, and M. Van Droogenbroeck. Real-time processing of depth and color video streams to improve the reliability of depth maps. In Proceedings of 3D Stereo MEDIA, Liège, Belgium, November 2009. Keyword(s): 3D, Depth, Range, Distance, ToF camera, Background subtraction, Motion detection, Segmentation. [bibtex-entry]


Miscellaneous
  1. M. Van Droogenbroeck, M. Braham, and A. Cioppa. Foreground and background detection method. United States Patent and Trademark Office, US 10,706,558 B2, 26 pages, July 2020. Keyword(s): Background subtraction, Semantic segmentation, Patent, Machine learning, Deep learning, Artificial intelligence, DeepSport. [bibtex-entry]


  2. M. Van Droogenbroeck, M. Braham, and S. Piérard. Foreground and background detection method. European Patent Office, EP 3438929 B2, July 2020. Keyword(s): Background subtraction, Semantic segmentation, Patent, Machine learning, Deep learning, Artificial intelligence. [bibtex-entry]


  3. M. Van Droogenbroeck, M. Braham, and S. Piérard. Foreground and background detection method. United States Patent and Trademark Office, US 10614736 B2, 16 pages, April 2020. Keyword(s): Background subtraction, Semantic segmentation, Patent, Machine learning, Deep learning, Artificial intelligence. [bibtex-entry]


  4. M. Van Droogenbroeck, M. Braham, and S. Piérard. Foreground and background detection method. Chinese Patent Office, CN109389618A, February 2019. Keyword(s): Background subtraction, Semantic segmentation, Patent, Machine learning, Deep learning, Artificial intelligence. [bibtex-entry]


  5. M. Van Droogenbroeck. La détection de mouvement dans une vidéo: histoire d'une technologie et d'un brevet. Oral presentation, 23 pages, Liège Creative, Liège, Belgium, May 2012. Keyword(s): ViBe, Background, Background subtraction, Inpainting, Deblur, Motion, Motion detection. [bibtex-entry]


  6. M. Van Droogenbroeck and O. Barnich. Visual Background Extractor. United States Patent and Trademark Office, US 8,009,918 B2, 18 pages, August 2011. Keyword(s): ViBe, Background, Background subtraction, Video analysis, Segmentation, Motion detection, Patent. [bibtex-entry]


  7. M. Van Droogenbroeck and O. Barnich. Visual background extractor. Japan Patent Office, JP 2011 4699564 B2, June 2011. Keyword(s): ViBe, Background, Background subtraction, Video analysis, Segmentation, Motion detection, Patent. [bibtex-entry]


  8. M. Van Droogenbroeck and O. Barnich. Visual background extractor. European Patent Office, EP 2 015 252 B1, 36 pages, 2010. Keyword(s): ViBe, Background, Background subtraction, Video analysis, Segmentation, Motion detection, Patent. [bibtex-entry]


  9. M. Van Droogenbroeck and O. Barnich. Visual background extractor. World Intellectual Property Organization, WO 2009/007198, 47 pages, January 2009. Keyword(s): ViBe, Background, Background subtraction, Video analysis, Segmentation, Motion detection, Video-surveillance. [bibtex-entry]



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Last modified: Tue Jul 14 12:42:55 2020